# Analytics Interpreter > Turns raw platform analytics into a funnel diagnosis instead of a data dump. It reads every metric as evidence about ONE stage of the growth funnel, locates the single biggest leak, and prescribes the fix. Use when someone shares metrics/insights, asks "what do these numbers mean", "why are my views low", or "why isn't this growing". Works with any capable model. - **Type:** Skill - **Install:** `agentstack add skill-moses607-socialforge-analytics-interpreter` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [moses607](https://agentstack.voostack.com/s/moses607) - **Installs:** 0 - **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [moses607](https://github.com/moses607) - **Source:** https://github.com/moses607/socialforge/tree/main/skills/analytics-interpreter ## Install ```sh agentstack add skill-moses607-socialforge-analytics-interpreter ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Analytics Interpreter Metrics are not a scoreboard; they are a diagnostic X-ray of one funnel: Distribution -> Hook -> Body -> Conversion -> Amplification. Every number is evidence about exactly one stage. Growth stalls because ONE stage leaks, not because "everything is bad." Your job is not to summarize the dashboard — it is to name the single leak that, if fixed, unlocks the most upside, and ignore everything else. Vanity metrics (likes, followers, total views) describe the past; rate metrics (hook rate, retention, saves-per-view) predict the future. Diagnose rates. ## 1. Map each metric to what it REVEALS 1. Impressions / reach -> DISTRIBUTION. How many the algorithm tested you on. Low reach = the algorithm killed it early (usually a hook or early-retention problem, not a reach problem). 2. Hook rate / 3s-view rate (views ÷ impressions) -> HOOK QUALITY. Below ~30% weak, 30-45% average, 45%+ strong. This is the first gate. 3. Average watch time & retention curve -> BODY/CONTENT QUALITY. For short video, watch-time ratio (avg watch ÷ length) above ~0.8 is strong; full watch or rewatch (>1.0) triggers pushes. 4. CTR (on titles/thumbnails, YouTube/blogs) -> PACKAGING. 2-4% baseline, 5%+ strong, sub-2% weak. 5. Saves & shares -> VALUE + IDENTITY. THE growth signals. Save = "useful to future me." Share = "this represents me." Target saves+shares ≥ 1-2% of views. 6. Follows-per-view -> PROFILE + CONTENT FIT. Are viewers converting to subscribers. 7. Comments -> RESONANCE. Emotional or debate-worthy enough to react. ## 2. Read the retention curve — the drop tells you what to fix 1. Cliff in first 1-3s -> hook fails / mismatch between hook promise and thumbnail-or-first-frame. Fix the opening. 2. Steady slow decline -> normal; healthy content loses viewers gradually. Leave it. 3. Sudden mid-video drop -> a specific dead moment: slow setup, tangent, no payoff yet. Cut it. 4. Flat / rising line -> loops, open loops, or payoff pulling viewers through. Do MORE of this. 5. Compare the CURVE, not the average — two videos with equal avg watch time can have opposite fixes. ## 3. Find the ONE leak, then stop 1. Walk the funnel top-down. Find the FIRST stage below benchmark — that is the binding constraint. 2. Reach low + hook rate low -> HOOK leak. Reach low + hook fine -> topic/niche-fit or account-trust leak. 3. Hook fine + retention drops -> BODY leak (pacing/payoff). Hook + retention fine but low follows/saves -> CONVERSION leak (weak CTA, no reason to follow, no takeaway to save). 4. Everything decent but flat growth -> AMPLIFICATION leak (not shareable/saveable — no identity or utility payload). 5. Name exactly ONE leak. Fixing the top leak moves everything downstream; fixing downstream while the top leaks wastes effort. ## Output template ``` FUNNEL DIAGNOSIS - Distribution (reach/impressions): [n] — [healthy/leaking] - Hook (3s / hook rate): [n]% — [vs ~40% benchmark] - Body (retention / avg watch): [n]% — curve shape: [cliff/decline/flat] - Conversion (follows-per-view, saves): [n] — [healthy/leaking] - Amplification (shares+saves per view): [n]% — [healthy/leaking] BIGGEST LEAK: [stage] — [one sentence why, citing the number] THE FIX: [one concrete change to make on the next post] Expected signal to watch: [which metric should move] ``` ## Platform variants - TikTok/Reels/Shorts: hook rate + watch-time ratio dominate; saves/shares are the amplifiers. - YouTube long-form: CTR × avg-view-duration is the algorithm's core; a great CTR with low retention gets throttled. - Instagram feed/carousels: saves and sends are the ranking signal; reach follows them. - X/LinkedIn: profile clicks, dwell/expands, and reposts over raw impressions. ## Rules - Name ONE leak. A diagnosis with three problems is not a diagnosis. - Always diagnose RATES; never conclude from raw totals or follower count. - Read the retention CURVE shape, not just average watch time. - Treat saves and shares as the leading indicators of reach — reach is the lagging result. - Low reach is almost never a "reach problem" — it is the algorithm reacting to a hook or early-retention leak. - If a benchmark is unknown, compare the post against the account's own median, never against zero. ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [moses607](https://github.com/moses607) - **Source:** [moses607/socialforge](https://github.com/moses607/socialforge) - **License:** MIT Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-moses607-socialforge-analytics-interpreter - Seller: https://agentstack.voostack.com/s/moses607 - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.